LLM Stats (BenchCAD (with Python tool)): leaderboard
LLM Stats compilation of vendor-reported BenchCAD Vision2Code results with a Python tool available: the model writes CadQuery code reproducing an industrial part from multi-view renders and can execute code while working, scored by voxel IoU against the reference geometry (0-1, shown as %). Higher is better. Tool access lifts scores well above the no-tool BenchCAD board; all rows are self-reported.
Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 96.3 | #13 |
| 2 | Claude Opus 5.5 | 96.2 | #3 |
| 3 | GPT-6 Astra | 95.9 | #5 |
| 4 | Kimi K3.1 Pro | 92.7 | #18 |
| 5 | Claude Haiku 5.5 | 87 | #46 |
| 6 | GPT-5.6 Sol | 83.4 | #22 |
| 7 | GPT-5.6 Terra | 78.2 | #43 |
| 8 | GPT-5.6 Luna | 73.9 | #80 |
No result here: #6 GPT-6.1 Sol, #9 Gemini 4 Argon, #10 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=llm-stats-benchcad-with-python-tool · How It Works · Data refreshed daily, snapshot 2026-11-07.